Integration of morphological analysis theory and artificial neural network approach for sustainable product design: a case study of portable vacuum cleaner Online publication date: Thu, 04-Sep-2014
by Mohd Fahrul Hassan; Muhamad Zameri Mat Saman; Safian Sharif; Badrul Omar
International Journal of Sustainable Manufacturing (IJSM), Vol. 2, No. 4, 2012
Abstract: A need for incorporating sustainability requirements during product development phase so as to ensure green initiatives is the vital focus of today's industries. However, proposed approaches are lacking in terms of sustainability aspects and difficulty in selecting the most sustainable product assembly model at the end of the methodologies. Besides, useful tools such as life-cycle assessment (LCA), streamlined LCA and environmental matrix for assessing the environmental impacts associated with a product have been incorporated in order to fulfil those limitations but the variation in price and complexity makes it difficult to match the goal, scope and budget of the product design. Therefore, this study presents an integrated morphological analysis theory and artificial neural network approach for producing products in sustainable manner that caters to environment, economic and social aspects. As a result from the case study, the most sustainable of new portable vacuum cleaner models can be systematically selected.
Online publication date: Thu, 04-Sep-2014
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Sustainable Manufacturing (IJSM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org